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Hadoop Engineer Jobs (NOW HIRING)

United Software Group

Hadoop Developer

Strongsville, OH · On-site

Hadoop Developer Location: Strongsville, OH (Onsite 5 Days) Job Summary We are seeking a skilled Hadoop Developer to design, develop, and maintain big data solutions using the Hadoop ecosystem. The ...

Artech

Platform Hadoop engineer / Admin

Addison, TX · On-site

... data engineering. * Experience with Hive and Impala and strong understanding of Java or Python. * 5 years of experience in Hadoop; experience with Cloudera is a plus. Preferred Skills ...

Compunnel

VINOF 494 HADOOP ENGINEER

Princeton, NJ · On-site

Involve in Architecture, design & development of Hadoop based solutions with Hadoop - Cloudera, Scala, SPARC, Flume & Kafka and Data Design & Database Development. Creates and maintains documentation ...

AceStack LLC

Hadoop Developer

Plano, TX · On-site

Hadoop Developer Location: Charlotte, NC | Plano, TX Onsite Experience: 10-15 Years Employment Type: FTE Job Summary We are looking for an experienced Hadoop Developer with strong expertise in Hadoop ...

Implify

Hadoop Developer

Bellevue, WA · On-site

Hadoop Developer Implify, Inc is a Global IT Solutions and services firm. Since its inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies ...

Sarian, Inc.

Hadoop Developer

Newark, DE · On-site

Sr Hadoop Developer Location: Newark, DE, Plano TX, Charlotte,NC Fulltime Skill: Hadoop Developer * Experienced in Hadoop, Unix shell scripting. * 7+ Years of experience in the data warehousing ...

AceStack LLC

Senior Hadoop developer

Newark, DE · On-site

Senior Hadoop Developer Role: Senior Hadoop Developer Employment Type: Full-Time Location: Newark, DE Primary Skill: Hadoop, Spark, Python, Hive, Impala Secondary: SQL, ML Experience: Minimum 10+ ...

Futran Tech Solutions Pvt. Ltd.

Sr Hadoop Developer

... data engineer. * Advanced knowledge of the Hadoop ecosystem and its components. * In-depth knowledge of Hive, HBase, and Pig. * Familiarity with MapReduce and Pig Latin Scripts. * Knowledge of ...

Compunnel

RAKOF 408 HADOOP ENGINEER

Princeton, NJ · On-site

Involve in Architecture, design & development of Hadoop based solutions with Hadoop Cloudera, Scala, SPARC, Flume & Kafka, and Data Design & Database Development. Creates and maintains documentation ...

E-Pro

Hadoop Developer

Jersey City, NJ · On-site

Hadoop Developer E*Pro Consulting service offerings include contingent Staff Augmentation of IT professionals, Permanent Recruiting and Temp-to-Hire. We have a Hadoop Developer Role at Jersey City ...

ClifyX

Hadoop Developer

Bartlesville, OK · On-site

Hadoop Developer As a Hadoop Developer you will be responsible for developing and maintaining data into and out of Hadoop. This position requires a high degree of 'learning agility' with the ability ...

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How much do hadoop engineer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for hadoop engineer in the United States is $63.20, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $73.80 per hour, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Hadoop engineers with extensive experience, advanced skills in big data tools, and certifications can earn $300,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

What is a Hadoop Engineer job?

A Hadoop Engineer is responsible for designing, developing, and maintaining big data solutions using the Hadoop ecosystem. They handle tasks such as data ingestion, storage, processing, and analysis using tools like HDFS, MapReduce, Hive, Spark, and HBase. Hadoop Engineers also optimize performance, ensure data security, and troubleshoot system issues. Their role is crucial in managing large-scale data processing pipelines for organizations that rely on big data analytics.

Can I make 200K as a Data Engineer?

Hadoop Engineers and Data Engineers with extensive experience, advanced skills in big data tools, and certifications can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual expertise in technologies like Hadoop, Spark, and cloud platforms.

What are the common challenges Hadoop Engineers face in their daily work, and how can they prepare for them?

Hadoop Engineers often encounter challenges such as optimizing the performance of large-scale data processing jobs, troubleshooting complex issues within distributed systems, and ensuring data security and reliability. Staying up-to-date with evolving data processing frameworks, maintaining efficient cluster management, and balancing resource utilization are also common hurdles. Preparing for these challenges involves continual learning, hands-on experience with various Hadoop ecosystem tools, and proactive communication with team members to resolve issues quickly. By cultivating resilience and problem-solving skills, engineers can turn these challenges into opportunities for professional growth and innovation.

What are the key skills and qualifications needed to thrive in the Hadoop Engineer position, and why are they important?

To thrive as a Hadoop Engineer, you need a solid understanding of distributed computing, big data frameworks, and programming skills in languages such as Java, Python, or Scala, often supported by a bachelor's degree in computer science or a related field. Familiarity with Hadoop ecosystem tools like Hive, Pig, HBase, Spark, and experience with cloud platforms or Hadoop certifications (e.g., Cloudera, Hortonworks) are highly valued. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help in diagnosing issues and collaborating with cross-functional teams. These competencies are vital to efficiently manage and optimize large-scale data processing systems, ensuring robust data solutions for business needs.

What is the salary of Hadoop engineer?

The salary of a Hadoop engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those with expertise in related big data tools may earn higher salaries.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Hadoop engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.
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Hadoop Engineer jobs near you
Infographic showing various Hadoop Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,458 per year, or $63.2 per hour.
Hadoop Developer

Hadoop Developer

United Software Group

Strongsville, OH • On-site

Other

Posted 11 days ago

Job description

Job Title: Hadoop Developer
Location: Strongsville, OH (Onsite 5 Days)
Job Summary
We are seeking a skilled Hadoop Developer to design, develop, and maintain big data solutions using the Hadoop ecosystem. The candidate will work with large datasets, build scalable data pipelines, and support analytics and reporting initiatives.
Key Responsibilities
  • Develop and maintain Hadoop-based applications and data pipelines.
  • Process large datasets using Hadoop ecosystem tools such as HDFS, Hive, and Spark.
  • Write optimized Hive queries and Spark/MapReduce jobs.
  • Perform data ingestion, transformation, and loading (ETL) from multiple data sources.
  • Collaborate with data engineers, analysts, and business stakeholders to gather requirements.
  • Troubleshoot and resolve data processing and performance issues.
  • Ensure data quality, scalability, and reliability of big data solutions.
  • Work in Linux/Unix environments and manage data workflows.
Required Skills
  • Experience with Hadoop ecosystem tools (HDFS, Hive, Spark, MapReduce)
  • Strong SQL and data processing skills
  • Experience with data ingestion tools like Sqoop, Flume, or Kafka
  • Programming knowledge in Java, Python, or Scala
  • Experience with ETL processes and big data architecture
  • Familiarity with Linux/Unix
Preferred Skills
  • Experience with Apache Spark
  • Knowledge of workflow orchestration tools such as Oozie or Airflow
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Exposure to data warehousing and BI tools

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